class_docstr: This class is responsible for building components for semantic segmentation. 
code: def optimizer(self) -> paddle.optimizer.Optimizer:
      opt_cfg = self.config.optimizer_cfg
      assert (
          opt_cfg != {}
      ), "No optimizer specified in the configuration file."
      # For compatibility
      if opt_cfg["type"] == "adam":
          opt_cfg["type"] = "Adam"
      if opt_cfg["type"] == "sgd":
          opt_cfg["type"] = "SGD"
      if opt_cfg["type"] == "SGD" and "momentum" in opt_cfg:
          opt_cfg["type"] = "Momentum"
          logger.info(
              "If the type is SGD and momentum in optimizer config, "
              "the type is changed to Momentum."
          )
      self.show_msg("optimizer", opt_cfg)
      opt = self.build_component(opt_cfg)
      opt = opt(self.model, self.lr_scheduler)
      return opt
  
imports: import copy
  from typing import Any, Optional
  import yaml
  import paddle
  from paddleseg.cvlibs import manager, Config
  from paddleseg.utils import utils, logger
  from paddleseg.utils.utils import CachedProperty
label_desc: Use image node_id 3 for calling the SegBuilder obj's underlying member method code with example usage: obj.optimizer() and returns: opt